Elamur Research⌕
☰
home / authors / Mohab Elkaref

Mohab Elkaref

Mohab Elkaref has 3 papers in our library, in 2019–2023, most of them on Semitic languages, Named entity recognition, Dependency parsing; often with Bernd Bohnet, James Barry, Nehal Elkaref.

3 papers in our library · 2019–2023

OpenAlex · h-index 5 · 23 works · 76 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 4 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10111

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of BirminghamBirmingham · United Kingdom2014–2019 · 3 papers🏢IBMArmonk · United States2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 2 worksNamed entity recognition · 1 workDependency parsing · 1 workEnglish · 1 work

 Works by year

2020s

20232 papers

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. NLPeople at NADI 2023 Shared Task: Arabic Dialect Identification with Augmented Context and Multi-Stage Tuning (2023 · 5 citations)
    The paper reports the winning entry for Subtask 1 of the NADI 2023 shared task: assigning a tweet to one of 18 country-level Arabic dialects.
  2. El-Kawaref at WojoodNER shared task: StagedNER for Arabic Named Entity Recognition (2023 · 3 citations)
    The paper describes a system for flat Arabic named entity recognition in the WojoodNER 2023 shared task. Arabic NER is hard because the language is morphologically rich and agglutinative, and it has no capitalisation cues. The authors apply StagedNER, which splits the task between two separate AraBERTv02 models. The…
  3. Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency Parsing (2019)
    The paper encodes a partial dependency tree as one dense vector, built by applying LSTMs recursively to each head and its dependents.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. NLPeople at NADI 2023 Shared Task: Arabic Dialect Identification with Augmented Context and Multi-Stage TuningArabic Natural Language Processing Conference (ArabicNLP)Mohab Elkaref, Movina Moses, Shinnosuke Tanaka, et al.2023 · 5 citations
  2. El-Kawaref at WojoodNER shared task: StagedNER for Arabic Named Entity RecognitionArabic Natural Language Processing Conference (ArabicNLP)Nehal Elkaref, Mohab Elkaref2023 · 3 citations
  3. Zero-Shot Open-Schema Entity Structure Discovery ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXueqiang Xu et al.2026
  4. Recursive LSTM Tree Representation for Arc-Standard Transition-Based Dependency ParsingMohab Elkaref, Bernd BohnetEnglish

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/mohab-elkaref/